Research Data Expert

Research Data Expert

Full-Time On-site
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At a Glance

  • Tasks: Lead data sourcing and analysis to enhance trading strategies and mentor junior engineers.
  • Company: Join Hudson River Trading, a leader in algorithmic trading and data innovation.
  • Benefits: Competitive salary, performance bonuses, and a supportive work culture.
  • Other info: Collaborative environment with opportunities for growth and diverse perspectives.
  • Why this job: Make an impact in the fast-paced world of trading with cutting-edge technology.
  • Qualifications: 5+ years in data science, strong programming skills, and a STEM degree.

Hudson River Trading (HRT) is seeking a Research Data Expert to join our Data team. Data is a cornerstone of HRT’s trading strategies, serving as the raw fuel that powers research, automated trading, and risk management. In this role, you will own a specific area of expertise, working on sourcing junior data engineers, platform engineers, and alpha researchers to build and maintain trading strategies. You will also be responsible for providing fully featurized datasets to statistical modeling researchers. HRT does not have information siloes. You will be collaborating directly with our researchers and will be responsible for driving the business forward through rigorous data analysis and delivery. You will also manage the full end-to-end pipeline from vendor downloads to trading-ready data. As an expert in one area, you will mentor junior data engineers, assisting and validating their work, and will partner with our sourcing team to identify optimal opportunities for data procurement. Furthermore, you will be responsible for ensuring high-quality service by implementing rigorous data checks and alerts.

Responsibilities:

  • Develop and maintain fully featurized datasets for statistical modeling research
  • Serve as the subject matter expert for a designated data domain
  • Provide technical support and guidance to researchers on vendor data and derived datasets
  • Mentor and direct junior data engineers, including performing code and data output validation
  • Partner with the sourcing team to identify and evaluate new data procurement opportunities
  • Analyze data to identify and improve alpha
  • Manage the full end-to-end data pipeline, from raw vendor ingestion to refined feature sets
  • Provide on-call support for data issues during normal business hours
  • Design and implement automated data quality checks and monitoring alerts

Qualifications:

  • Strong programming skills (Python/R preferred) and proficiency in data science methodologies
  • 5+ years of professional experience in a specific data domain (e.g., alternative data, fundamentals, security reference, or economic data)
  • Proven track record of building alpha through detailed data analysis
  • Exceptional attention to detail
  • Undergraduate degree in a STEM field

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office. Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

Research Data Expert employer: Trading Interview

Virtu Financial is an exceptional employer that fosters a dynamic and meritocratic work environment, perfect for those looking to kick start their career in financial technology. With generous benefits such as 26 days of annual leave, comprehensive health coverage, and a strong emphasis on employee well-being, Virtu prioritises both professional growth and personal fulfilment. The collaborative culture encourages innovation and teamwork, making it an exciting place to thrive while contributing to cutting-edge solutions in global markets.

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Contact Details:

Trading Interview Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Data Expert

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We think you need these skills to ace Research Data Expert

Data Analysis
Programming Skills (Python/R)
Data Science Methodologies
Statistical Modelling
Attention to Detail
Mentoring
Data Pipeline Management

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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How to prepare for a job interview at Trading Interview

✨Brush Up on Your Statistics

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✨Get Comfortable with Python and R

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✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.